knitr::opts_chunk$set(
    message = FALSE,
    warning = FALSE,
    comment = NA,
    include = FALSE,
    tidy = TRUE
)

1 R nerede kullanılır

  • Veri düzenleme
  • İstatistik analiz
  • Web sayfası hazırlama (Statik/Dinamik)
  • Sunum hazırlama
  • Programlama
  • Otomatik, periodik ve tekrarlanabilir rapor hazırlama
  • pdf, html, ppt oluşturma
  • tez yazma
  • kitap yazma
  • CV oluşturma
  • poster hazırlama
  • rapor şablonu oluşturma

2 R generation

R yıllar içinde çok fazla değişim gösterdi

https://rss.onlinelibrary.wiley.com/doi/10.1111/j.1740-9713.2018.01169.x

:scale 30%


3 R yükleme

http://www.youtube.com/watch?v=XcBLEVknqvY

3.1 What is R?

3.3 RStudio


3.4 RStudio

https://www.rstudio.com/

https://www.rstudio.com/products/rstudio/download/

https://moderndive.com/2-getting-started.html



3.4.1 RStudio eklentileri

  • Discover and install useful RStudio addins

https://cran.r-project.org/web/packages/addinslist/README.html

https://rstudio.github.io/rstudioaddins/

devtools::install_github("rstudio/addinexamples", type = "source")

5 R zor şeyler için kolay, kolay şeyler için zor

R Syntax Comparison::CHEAT SHEET

https://www.amelia.mn/Syntax-cheatsheet.pdf



6 R paketleri

6.1 Neden paketler var




6.3 Kendi paket evrenini oluştur


6.4 R paket yükleme

install.packages("tidyverse", dependencies = TRUE)
install.packages("jmv", dependencies = TRUE)
install.packages("questionr", dependencies = TRUE)
install.packages("Rcmdr", dependencies = TRUE)
install.packages("summarytools")
# install.packages("tidyverse", dependencies = TRUE)
# install.packages("jmv", dependencies = TRUE)
# install.packages("questionr", dependencies = TRUE)
# install.packages("Rcmdr", dependencies = TRUE)
# install.packages("summarytools")

6.5 Paket çağırma

# require(tidyverse)
# require(jmv)
# require(questionr)
# library(summarytools)
# library(gganimate)

7 R için yardım bulma

# ?mean
# ??efetch
# help(merge)
# example(merge)

  • Vignette

:scale 80%


https://stackoverflow.com/

  • Google uygun anahtar kelime



  • Google’da ararken [R] yazmak da işe yarayabiliyor.

  • searcher package 📦


http://cran.r-project.org/doc/contrib/Baggott-refcard-v2.pdf

https://www.rstudio.com/resources/cheatsheets/

  • Awesome R

https://github.com/qinwf/awesome-R#readme

https://awesome-r.com/

  • Twitter

https://twitter.com/hashtag/rstats?src=hash


  • Use Reproducible Examples When Asking

9 RStudio ile veri yükleme

https://support.rstudio.com/hc/en-us/articles/218611977-Importing-Data-with-RStudio


9.1 Excel

9.2 SPSS

9.3 CSV


10 Veriyi görüntüleme


11 Veriyi görüntüleme

# library(nycflights13)
# summary(flights)
View(data)
data
head
tail
glimpse
str
skimr::skim()

12 Veriyi değiştirme

12.1 Veriyi kod ile değiştirelim

12.2 Veriyi eklentilerle değiştirme

:scale 50%


12.3 RStudio aracılığıyla recode

questionr paketi kullanılacak

:scale 50%


https://juba.github.io/questionr/articles/recoding_addins.html




13 Basit tanımlayıcı istatistikler

summary()
mean
median
min
max
sd
table()

library(readr)
irisdata <- read_csv("data/iris.csv")
Parsed with column specification:
cols(
  Sepal.Length = col_double(),
  Sepal.Width = col_double(),
  Petal.Length = col_double(),
  Petal.Width = col_double(),
  Species = col_character()
)
jmv::descriptives(
    data = irisdata,
    vars = "Sepal.Length",
    splitBy = "Species",
    freq = TRUE,
    hist = TRUE,
    dens = TRUE,
    bar = TRUE,
    box = TRUE,
    violin = TRUE,
    dot = TRUE,
    mode = TRUE,
    sum = TRUE,
    sd = TRUE,
    variance = TRUE,
    range = TRUE,
    se = TRUE,
    skew = TRUE,
    kurt = TRUE,
    quart = TRUE,
    pcEqGr = TRUE)

 DESCRIPTIVES

 Descriptives                                          
 ───────────────────────────────────────────────────── 
                          Species       Sepal.Length   
 ───────────────────────────────────────────────────── 
   N                      setosa                  50   
                          versicolor              50   
                          virginica               50   
   Missing                setosa                   0   
                          versicolor               0   
                          virginica                0   
   Mean                   setosa                5.01   
                          versicolor            5.94   
                          virginica             6.59   
   Std. error mean        setosa              0.0498   
                          versicolor          0.0730   
                          virginica           0.0899   
   Median                 setosa                5.00   
                          versicolor            5.90   
                          virginica             6.50   
   Mode                   setosa                5.00   
                          versicolor            5.50   
                          virginica             6.30   
   Sum                    setosa                 250   
                          versicolor             297   
                          virginica              329   
   Standard deviation     setosa               0.352   
                          versicolor           0.516   
                          virginica            0.636   
   Variance               setosa               0.124   
                          versicolor           0.266   
                          virginica            0.404   
   Range                  setosa                1.50   
                          versicolor            2.10   
                          virginica             3.00   
   Minimum                setosa                4.30   
                          versicolor            4.90   
                          virginica             4.90   
   Maximum                setosa                5.80   
                          versicolor            7.00   
                          virginica             7.90   
   Skewness               setosa               0.120   
                          versicolor           0.105   
                          virginica            0.118   
   Std. error skewness    setosa               0.337   
                          versicolor           0.337   
                          virginica            0.337   
   Kurtosis               setosa              -0.253   
                          versicolor          -0.533   
                          virginica           0.0329   
   Std. error kurtosis    setosa               0.662   
                          versicolor           0.662   
                          virginica            0.662   
   25th percentile        setosa                4.80   
                          versicolor            5.60   
                          virginica             6.23   
   50th percentile        setosa                5.00   
                          versicolor            5.90   
                          virginica             6.50   
   75th percentile        setosa                5.20   
                          versicolor            6.30   
                          virginica             6.90   
 ───────────────────────────────────────────────────── 


# install.packages("scatr")

scatr::scat(
    data = irisdata,
    x = "Sepal.Length",
    y = "Sepal.Width",
    group = "Species",
    marg = "dens",
    line = "linear",
    se = TRUE)

13.1 summarytools

https://cran.r-project.org/web/packages/summarytools/vignettes/Introduction.html

library(summarytools)
summarytools::freq(iris$Species, style = "rmarkdown")

13.1.1 Frequencies

13.1.1.1 iris$Species

Type: Factor

  Freq % Valid % Valid Cum. % Total % Total Cum.
setosa 50 33.33 33.33 33.33 33.33
versicolor 50 33.33 66.67 33.33 66.67
virginica 50 33.33 100.00 33.33 100.00
<NA> 0 0.00 100.00
Total 150 100.00 100.00 100.00 100.00

summarytools::freq(iris$Species, report.nas = FALSE, style = "rmarkdown", headings = FALSE)
with(tobacco, print(ctable(smoker, diseased), method = 'render'))
with(tobacco,
     print(ctable(smoker, diseased, prop = 'n', totals = FALSE),
           omit.headings = TRUE, method = "render"))

summarytools::descr(iris, style = "rmarkdown")

descr(iris,
      stats = c("mean", "sd", "min", "med", "max"),
      transpose = TRUE,
      headings = FALSE,
      style = "rmarkdown")

# view(dfSummary(iris))


dfSummary(tobacco,
          plain.ascii = FALSE,
          style = "grid")


# First save the results

iris_stats_by_species <- by(data = iris,
                            INDICES = iris$Species,
                            FUN = descr, stats = c("mean", "sd", "min", "med", "max"),
                            transpose = TRUE)

# Then use view(), like so:

view(iris_stats_by_species, method = "pander", style = "rmarkdown")

# view(iris_stats_by_species)


data(tobacco) # tobacco is an example dataframe included in the package
BMI_by_age <- with(tobacco,
                   by(BMI, age.gr, descr,
                      stats = c("mean", "sd", "min", "med", "max")))
view(BMI_by_age, "pander", style = "rmarkdown")

BMI_by_age <- with(tobacco,
                   by(BMI, age.gr, descr,  transpose = TRUE,
                      stats = c("mean", "sd", "min", "med", "max")))

view(BMI_by_age, "pander", style = "rmarkdown", omit.headings = TRUE)

tobacco_subset <- tobacco[ ,c("gender", "age.gr", "smoker")]
freq_tables <- lapply(tobacco_subset, freq)

# view(freq_tables, footnote = NA, file = 'freq-tables.html')

what.is(iris)

freq(tobacco$gender, style = 'rmarkdown')

print(freq(tobacco$gender), method = 'render')

13.2 skimr

library(skimr)
skim(df)

13.3 DataExplorer

library(DataExplorer)
DataExplorer::create_report(df)


13.5 Grafikler

# library(ggplot2)
# library(mosaic)
# mPlot(irisdata)

ctable(tobacco$gender, tobacco$smoker, style = 'rmarkdown')

print(ctable(tobacco$gender, tobacco$smoker), method = 'render')

descr(tobacco, style = 'rmarkdown')

print(descr(tobacco), method = 'render', table.classes = 'st-small')

dfSummary(tobacco, style = 'grid', plain.ascii = FALSE)

print(dfSummary(tobacco, graph.magnif = 0.75), method = 'render')



14 Bazı arayüzler

14.1 Rcmdr

library(Rcmdr)

Rcmdr::Commander()
  • A Comparative Review of the R Commander GUI for R

http://r4stats.com/articles/software-reviews/r-commander/


16 Sonraki Konular

  • RStudio ile GitHub kullanımı
  • R Markdown ve R Notebook ile tekrarlanabilir rapor
  • Hipotez testleri

17 Geri Bildirim



# Save Final Data

saved data after analysis to `Data-After-Analysis.xlsx`.

saveRDS(mydata, "Data-After-Analysis.rds")

writexl::write_xlsx(mydata, "Data-After-Analysis.xlsx")

file.info("Data-After-Analysis.xlsx")$ctime

18 Libraries Used

citation()
citation("tidyverse")
citation("foreign")
citation("tidylog")
citation("janitor")
citation("jmv")
citation("tangram")
citation("finalfit")
citation("summarytools")
citation("ggstatplot")
citation("readxl")

report::cite_packages(session = sessionInfo())

sessionInfo()

19 Notes

Completed on 2019-09-24 19:34:23.

Serdar Balci, MD, Pathologist

https://rpubs.com/sbalci/CV
https://sbalci.github.io/
https://github.com/sbalci


CommitMessage <- paste("updated on ", Sys.time(), sep = "")

wd <- getwd()

gitCommand <- paste("cd ", wd, " \n git add . \n git commit --message '", CommitMessage, "' \n git push origin master \n", sep = "")

system(command = gitCommand, intern = TRUE
)

  1. Bu bir derlemedir, mümkün mertebe alıntılara referans vermeye çalıştım.↩︎

---
title: R ile analize başlarken^[Bu bir derlemedir, mümkün mertebe alıntılara referans
  vermeye çalıştım.]
author: "Derleyen [Serdar Balcı, MD, Pathologist](https://sbalci.github.io/)"
institute: "[serdarbalci.com](https://www.serdarbalci.com)"
date: "`r format(Sys.Date())`"
output:
  revealjs::revealjs_presentation:
  xaringan::moon_reader:
    lib_dir: libs
    nature:
      beforeInit: ["macros.js", "https://platform.twitter.com/widgets.js"]
      highlightStyle: github
      highlightLines: true
      countIncrementalSlides: false
    self_contained: true
  html_notebook:
    fig_caption: yes
    highlight: kate
    number_sections: yes
    theme: flatly
    toc: yes
    toc_depth: 5
    toc_float: yes
  pdf_document:
    toc: yes
    toc_depth: '5'
  html_document:
    fig_caption: yes
    keep_md: yes
    toc: yes
    toc_depth: 5
    toc_float: yes
---

<!-- Open all links in new tab-->  
<base target="_blank"/>   

<!-- Go to www.addthis.com/dashboard to customize your tools --> <script type="text/javascript" src="//s7.addthis.com/js/300/addthis_widget.js#pubid=ra-5bc36900a405090b">  
</script>

<!-- [![](http://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1530113077/Image_2_vfy48b.png)](https://www.datacamp.com/community/tutorials/data-science-pitfalls) -->


```{r setup global chunk settings}
knitr::opts_chunk$set(
	message = FALSE,
	warning = FALSE,
	comment = NA,
	include = FALSE,
	tidy = TRUE
)
```


# R nerede kullanılır

- Veri düzenleme
- İstatistik analiz
- Web sayfası hazırlama (Statik/Dinamik)
- Sunum hazırlama
- Programlama
- Otomatik, periodik ve tekrarlanabilir rapor hazırlama
- pdf, html, ppt oluşturma
- tez yazma
- kitap yazma
- CV oluşturma
- poster hazırlama
- rapor şablonu oluşturma
- ...

---

# R generation

R yıllar içinde çok fazla değişim gösterdi

https://rss.onlinelibrary.wiley.com/doi/10.1111/j.1740-9713.2018.01169.x

![](https://wol-prod-cdn.literatumonline.com/pb-assets/journal-banners/17409713-1501384756037.jpg)

![:scale 30%](https://wol-prod-cdn.literatumonline.com/cms/attachment/1a49c07b-b56f-4327-8e92-7827ef51a7bb/sign1169-gra-0002-m.jpg)


```{r eval=FALSE, include=FALSE}
knitr::include_graphics(path = "https://wol-prod-cdn.literatumonline.com/cms/attachment/1a49c07b-b56f-4327-8e92-7827ef51a7bb/sign1169-gra-0002-m.jpg")
```


---

# R yükleme

http://www.youtube.com/watch?v=XcBLEVknqvY

![What is R?](http://img.youtube.com/vi/XcBLEVknqvY/0.jpg)
---

## R-project

https://cran.r-project.org/

---

## RStudio


![](https://ismayc.github.io/talks/ness-infer/img/engine.png)

---

## RStudio

[https://www.rstudio.com/](https://www.rstudio.com/)

[https://www.rstudio.com/products/rstudio/download/](https://www.rstudio.com/products/rstudio/download/)

[https://moderndive.com/2-getting-started.html](https://moderndive.com/2-getting-started.html)

---

[![](http://www-users.york.ac.uk/~er13/RStudio%20Anatomy.svg)](https://buzzrbeeline.blog/2018/07/04/rstudio-anatomy/)



---

### RStudio eklentileri

- Discover and install useful RStudio addins

https://cran.r-project.org/web/packages/addinslist/README.html

https://rstudio.github.io/rstudioaddins/


```
devtools::install_github("rstudio/addinexamples", type = "source")
```


---

# MacOS için

## X11

https://www.xquartz.org/

## Java OS

https://support.apple.com/kb/dl1572

---


# R zor şeyler için kolay, kolay şeyler için zor


- [R makes easy things hard, and hard things easy](http://r4stats.com/articles/why-r-is-hard-to-learn/)


- Aynı şeyi çok fazla şekilde yapmak mümkün

R Syntax Comparison::CHEAT SHEET

https://www.amelia.mn/Syntax-cheatsheet.pdf


---


<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr"><a href="https://twitter.com/hashtag/RStats?src=hash&amp;ref_src=twsrc%5Etfw">#RStats</a> — There are always several ways to do the same thing... nice example on with the identity matrix by <a href="https://twitter.com/TeaStats?ref_src=twsrc%5Etfw">@TeaStats</a> <a href="https://t.co/O3GXdPiM32">https://t.co/O3GXdPiM32</a></p>&mdash; Colin Fay 🤘 (@_ColinFay) <a href="https://twitter.com/_ColinFay/status/1112746633467518977?ref_src=twsrc%5Etfw">April 1, 2019</a></blockquote>
<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

---


# R paketleri


## Neden paketler var

[![](https://ismayc.github.io/talks/ness-infer/img/appstore.png)](https://ismayc.github.io/talks/ness-infer/slide_deck.html#7)

---

<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script><blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">I love the <a href="https://twitter.com/hashtag/rstats?src=hash&amp;ref_src=twsrc%5Etfw">#rstats</a> community.<br>Someone is like, &quot;oh hey peeps, I saw a big need for this mundane but difficult task that I infrequently do, so I created a package that will literally scrape the last bits of peanut butter out of the jar for you. It&#39;s called pbplyr.&quot;<br>What a tribe.</p>&mdash; Frank Elavsky ᴰᵃᵗᵃ ᵂᶦᶻᵃʳᵈ (@Frankly_Data) <a href="https://twitter.com/Frankly_Data/status/1014189095294291968?ref_src=twsrc%5Etfw">July 3, 2018</a></blockquote>

<!-- --- -->

<!-- https://blog.mitchelloharawild.com/blog/user-2018-feature-wall/ -->

---

![](https://blog.mitchelloharawild.com/blog/2018-07-11-user-2018-feature-wall_files/final.jpg)

---

## Paketleri nereden bulabiliriz

- Available CRAN Packages By Name  
https://cran.r-project.org/web/packages/available_packages_by_name.html

- CRAN Task Views  
https://cran.r-project.org/web/views/

- Bioconductor  
https://www.bioconductor.org

- RecommendR  
http://recommendr.info/

- pkgsearch  
CRAN package search  
https://github.com/metacran/pkgsearch

- CRANsearcher  
https://github.com/RhoInc/CRANsearcher  

- Awesome R  
https://awesome-r.com/  

---

## Kendi paket evrenini oluştur

- pkgverse: Build a Meta-Package Universe  
https://cran.r-project.org/web/packages/pkgverse/index.html


---

## R paket yükleme

```
install.packages("tidyverse", dependencies = TRUE)
install.packages("jmv", dependencies = TRUE)
install.packages("questionr", dependencies = TRUE)
install.packages("Rcmdr", dependencies = TRUE)
install.packages("summarytools")
```

```{r paket yükleme}
# install.packages("tidyverse", dependencies = TRUE)
# install.packages("jmv", dependencies = TRUE)
# install.packages("questionr", dependencies = TRUE)
# install.packages("Rcmdr", dependencies = TRUE)
# install.packages("summarytools")
```

---

## Paket çağırma

```{r paket cagirma, error=FALSE, message = FALSE, warning = FALSE, eval = TRUE, include = TRUE}
# require(tidyverse)
# require(jmv)
# require(questionr)
# library(summarytools)
# library(gganimate)
```



---

# R için yardım bulma


```{r yardım}
# ?mean
# ??efetch
# help(merge)
# example(merge)
```

---

- Vignette

![:scale 80%](figures/vignette.png)

---

- RDocumentation
https://www.rdocumentation.org

- R Package Documentation
https://rdrr.io/

- GitHub

- Stackoverflow

https://stackoverflow.com/

- Google uygun anahtar kelime

---

<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script><blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">How I use <a href="https://twitter.com/hashtag/rstats?src=hash&amp;ref_src=twsrc%5Etfw">#rstats</a> <br>h/t <a href="https://twitter.com/ThePracticalDev?ref_src=twsrc%5Etfw">@ThePracticalDev</a> <a href="https://t.co/erRnTG0Ujr">pic.twitter.com/erRnTG0Ujr</a></p>&mdash; Emily Bovee (@ebovee09) <a href="https://twitter.com/ebovee09/status/1028037594947485696?ref_src=twsrc%5Etfw">August 10, 2018</a></blockquote>


---


![](figures/Google-package-name.png)

---



![](figures/Google-start-with-R.png)


- Google'da ararken `[R]` yazmak da işe yarayabiliyor.


---

- searcher package 📦


[![](https://camo.githubusercontent.com/12f0e2d18047f1b5f36fbeb09a1d0e548236883f/68747470733a2f2f692e696d6775722e636f6d2f5a7132726736472e676966)](https://github.com/coatless/searcher)



---

- Awesome Cheatsheet
https://github.com/detailyang/awesome-cheatsheet

http://cran.r-project.org/doc/contrib/Baggott-refcard-v2.pdf

https://www.rstudio.com/resources/cheatsheets/


- Awesome R

https://github.com/qinwf/awesome-R#readme

https://awesome-r.com/


- Twitter

https://twitter.com/hashtag/rstats?src=hash

---


- Use Reproducible Examples When Asking  

<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Got a question to ask on <a href="https://twitter.com/SlackHQ?ref_src=twsrc%5Etfw">@SlackHQ</a> or post on <a href="https://twitter.com/github?ref_src=twsrc%5Etfw">@github</a>? No time to read the long post on how to use reprex? Here is a 20-second gif for you to format your R codes nicely and for others to reproduce your problem. (An example from a talk given by <a href="https://twitter.com/JennyBryan?ref_src=twsrc%5Etfw">@JennyBryan</a>) <a href="https://twitter.com/hashtag/rstat?src=hash&amp;ref_src=twsrc%5Etfw">#rstat</a> <a href="https://t.co/gpuGXpFIsX">pic.twitter.com/gpuGXpFIsX</a></p>&mdash; ZhiYang (@zhiiiyang) <a href="https://twitter.com/zhiiiyang/status/1053006003711569920?ref_src=twsrc%5Etfw">October 18, 2018</a></blockquote><script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>


- Keeping up to date with R news  
https://masalmon.eu/2019/01/25/uptodate/  

---

# R studio ile proje oluşturma

https://support.rstudio.com/hc/en-us/articles/200526207-Using-Projects

![](http://www.rstudio.com/images/docs/projects_new.png)

---

# RStudio ile veri yükleme

https://support.rstudio.com/hc/en-us/articles/218611977-Importing-Data-with-RStudio

![](https://support.rstudio.com/hc/en-us/article_attachments/206277618/data-import-overview.gif)

---

## Excel

## SPSS

## CSV


---

# Veriyi görüntüleme

<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script><blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Spreadsheet users using <a href="https://twitter.com/hashtag/rstats?src=hash&amp;ref_src=twsrc%5Etfw">#rstats</a>:  where&#39;s the data?<a href="https://twitter.com/hashtag/rstats?src=hash&amp;ref_src=twsrc%5Etfw">#rstats</a> users using spreadsheets:  where&#39;s the code?</p>&mdash; Leonard Kiefer (@lenkiefer) <a href="https://twitter.com/lenkiefer/status/1015587475580956672?ref_src=twsrc%5Etfw">July 7, 2018</a></blockquote>

---

# Veriyi görüntüleme

```{r, results="markup"}
# library(nycflights13)
# summary(flights)
```



```
View(data)
```


```
data
```


```
head
```


```
tail
```


```
glimpse
```


```
str
```


```
skimr::skim()
```

---


# Veriyi değiştirme

## Veriyi kod ile değiştirelim

## Veriyi eklentilerle değiştirme

![:scale 50%](figures/change_data.png)


---


## RStudio aracılığıyla recode

*questionr* paketi kullanılacak

![:scale 50%](figures/level_recode.png)


---



https://juba.github.io/questionr/articles/recoding_addins.html


![](https://raw.githubusercontent.com/juba/questionr/master/resources/screenshots/irec_1.png)


---

![](https://raw.githubusercontent.com/juba/questionr/master/resources/screenshots/irec_2.png)


---

![](https://raw.githubusercontent.com/juba/questionr/master/resources/screenshots/irec_3.png)


---

# Basit tanımlayıcı istatistikler

```
summary()
```

```
mean
```

```
median
```

```
min
```

```
max
```

```
sd
```

```
table()
```

---


```{r descriptive, echo=TRUE, include = TRUE}
library(readr)
irisdata <- read_csv("data/iris.csv")

jmv::descriptives(
    data = irisdata,
    vars = "Sepal.Length",
    splitBy = "Species",
    freq = TRUE,
    hist = TRUE,
    dens = TRUE,
    bar = TRUE,
    box = TRUE,
    violin = TRUE,
    dot = TRUE,
    mode = TRUE,
    sum = TRUE,
    sd = TRUE,
    variance = TRUE,
    range = TRUE,
    se = TRUE,
    skew = TRUE,
    kurt = TRUE,
    quart = TRUE,
    pcEqGr = TRUE)
```

---

```{r scatter, echo=TRUE, include=TRUE}
# install.packages("scatr")

scatr::scat(
    data = irisdata,
    x = "Sepal.Length",
    y = "Sepal.Width",
    group = "Species",
    marg = "dens",
    line = "linear",
    se = TRUE)

```

---

## summarytools

https://cran.r-project.org/web/packages/summarytools/vignettes/Introduction.html

```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
library(summarytools)
summarytools::freq(iris$Species, style = "rmarkdown")
```


---

```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
summarytools::freq(iris$Species, report.nas = FALSE, style = "rmarkdown", headings = FALSE)
```


```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
with(tobacco, print(ctable(smoker, diseased), method = 'render'))
```


```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
with(tobacco,
     print(ctable(smoker, diseased, prop = 'n', totals = FALSE),
           omit.headings = TRUE, method = "render"))
```

---

```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
summarytools::descr(iris, style = "rmarkdown")
```

---

```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
descr(iris,
      stats = c("mean", "sd", "min", "med", "max"),
      transpose = TRUE,
      headings = FALSE,
      style = "rmarkdown")
```

---

```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
# view(dfSummary(iris))

```


![](figures/dfsummary.png)

---

```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
dfSummary(tobacco,
          plain.ascii = FALSE,
          style = "grid")
```


---

```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}

# First save the results

iris_stats_by_species <- by(data = iris,
                            INDICES = iris$Species,
                            FUN = descr, stats = c("mean", "sd", "min", "med", "max"),
                            transpose = TRUE)

# Then use view(), like so:

view(iris_stats_by_species, method = "pander", style = "rmarkdown")
```


---


```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
# view(iris_stats_by_species)
```

![](figures/DescriptiveStatistics.png)

---

```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
data(tobacco) # tobacco is an example dataframe included in the package
BMI_by_age <- with(tobacco,
                   by(BMI, age.gr, descr,
                      stats = c("mean", "sd", "min", "med", "max")))
view(BMI_by_age, "pander", style = "rmarkdown")
```

---

```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
BMI_by_age <- with(tobacco,
                   by(BMI, age.gr, descr,  transpose = TRUE,
                      stats = c("mean", "sd", "min", "med", "max")))

view(BMI_by_age, "pander", style = "rmarkdown", omit.headings = TRUE)
```

---

```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
tobacco_subset <- tobacco[ ,c("gender", "age.gr", "smoker")]
freq_tables <- lapply(tobacco_subset, freq)

# view(freq_tables, footnote = NA, file = 'freq-tables.html')
```

---

```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
what.is(iris)
```

---

```{r}
freq(tobacco$gender, style = 'rmarkdown')
```

---

```{r}
print(freq(tobacco$gender), method = 'render')
```

---

## skimr

```
library(skimr)
skim(df)
```

---

## DataExplorer

```
library(DataExplorer)
DataExplorer::create_report(df)
```


[![](https://static1.squarespace.com/static/58eef8846a4963e429687a4d/t/5bdfc2fb4d7a9c04ee50b7aa/1541391160702/dataExplorerGifLg.gif?format=1500w)](https://www.littlemissdata.com/blog/simple-eda)



---

## inspectdf

https://github.com/alastairrushworth/inspectdf


---

## Grafikler

```{r}
# library(ggplot2)
# library(mosaic)
# mPlot(irisdata)
```

---


```{r, results="asis"}
ctable(tobacco$gender, tobacco$smoker, style = 'rmarkdown')
```

---


```{r}
print(ctable(tobacco$gender, tobacco$smoker), method = 'render')
```


---

```
descr(tobacco, style = 'rmarkdown')

print(descr(tobacco), method = 'render', table.classes = 'st-small')

dfSummary(tobacco, style = 'grid', plain.ascii = FALSE)

print(dfSummary(tobacco, graph.magnif = 0.75), method = 'render')
```


---



<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Here, building up a <a href="https://twitter.com/hashtag/ggplot2?src=hash&amp;ref_src=twsrc%5Etfw">#ggplot2</a> as slowly as possible, <a href="https://twitter.com/hashtag/rstats?src=hash&amp;ref_src=twsrc%5Etfw">#rstats</a>.  Incremental adjustments.  <a href="https://twitter.com/hashtag/rstatsteachingideas?src=hash&amp;ref_src=twsrc%5Etfw">#rstatsteachingideas</a> <a href="https://t.co/nUulQl8bPh">pic.twitter.com/nUulQl8bPh</a></p>&mdash; Gina Reynolds (@EvaMaeRey) <a href="https://twitter.com/EvaMaeRey/status/1029104656763572226?ref_src=twsrc%5Etfw">August 13, 2018</a></blockquote><script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>


---


[![](https://raw.githubusercontent.com/dreamRs/esquisse/master/man/figures/esquisse.gif)](https://github.com/dreamRs/esquisse)


<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Dreaming of a fancy <a href="https://twitter.com/hashtag/Rstats?src=hash&amp;ref_src=twsrc%5Etfw">#Rstats</a> <a href="https://twitter.com/hashtag/ggplot?src=hash&amp;ref_src=twsrc%5Etfw">#ggplot</a> <a href="https://twitter.com/hashtag/dataviz?src=hash&amp;ref_src=twsrc%5Etfw">#dataviz</a> but still scared of typing <a href="https://twitter.com/hashtag/code?src=hash&amp;ref_src=twsrc%5Etfw">#code</a>? <a href="https://twitter.com/_pvictorr?ref_src=twsrc%5Etfw">@_pvictorr</a> esquisse package has you covered <a href="https://t.co/1vIDXcVAAF">https://t.co/1vIDXcVAAF</a> <a href="https://t.co/RlTkptnrNv">pic.twitter.com/RlTkptnrNv</a></p>&mdash; Radoslaw Panczak (@RPanczak) <a href="https://twitter.com/RPanczak/status/1047019588658040832?ref_src=twsrc%5Etfw">October 2, 2018</a></blockquote>
<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>



<!-- ## Tablolar -->


---

# Bazı arayüzler


## Rcmdr

```
library(Rcmdr)

Rcmdr::Commander()

```


- A Comparative Review of the R Commander GUI for R

http://r4stats.com/articles/software-reviews/r-commander/


---

## jamovi

https://www.jamovi.org/

![![](https://www.jamovi.org/assets/main-screenshot.png)](https://www.jamovi.org/)


https://blog.jamovi.org/2018/07/30/rj.html

![![](https://blog.jamovi.org/assets/images/rj.png)](https://blog.jamovi.org/2018/07/30/rj.html)

---

# R nereden öğrenilir

https://sbalci.github.io/MyRCodesForDataAnalysis/WhereToLearnR.nb.html

---

# Sonraki Konular

- RStudio ile GitHub kullanımı
- R Markdown ve R Notebook ile tekrarlanabilir rapor
- Hipotez testleri



-----

# Geri Bildirim

- Geri bildirim için tıklayınız: _[Geri bildirim formu](https://goo.gl/forms/YjGZ5DHgtPlR1RnB3)_


---

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<div id="disqus_thread"></div>
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---


```
# Save Final Data

saved data after analysis to `Data-After-Analysis.xlsx`.

saveRDS(mydata, "Data-After-Analysis.rds")

writexl::write_xlsx(mydata, "Data-After-Analysis.xlsx")

file.info("Data-After-Analysis.xlsx")$ctime

```

---


# Libraries Used

```{r}
citation()
```

```
citation("tidyverse")
citation("foreign")
citation("tidylog")
citation("janitor")
citation("jmv")
citation("tangram")
citation("finalfit")
citation("summarytools")
citation("ggstatplot")
citation("readxl")
```


```{r eval=FALSE, include=FALSE}
citation("tidyverse")
citation("foreign")
citation("tidylog")
citation("janitor")
citation("jmv")
citation("tangram")
citation("finalfit")
citation("summarytools")
citation("ggstatplot")
citation("readxl")
```


---


```{r, results='asis'}
report::cite_packages(session = sessionInfo())
```


---

```{r}
sessionInfo()
```

---


# Notes  

Completed on `r Sys.time()`.  

Serdar Balci, MD, Pathologist  
drserdarbalci@gmail.com  
https://rpubs.com/sbalci/CV   
https://sbalci.github.io/  
https://github.com/sbalci  


---

```{r}
CommitMessage <- paste("updated on ", Sys.time(), sep = "")

wd <- getwd()

gitCommand <- paste("cd ", wd, " \n git add . \n git commit --message '", CommitMessage, "' \n git push origin master \n", sep = "")

system(command = gitCommand, intern = TRUE
)

```








